AI Penetration Testing: Protecting LLMs From Cyber Attacks

This article argues that AI and LLM deployments require dedicated penetration testing, outlines core vulnerabilities (prompt injection, sensitive information disclosure, and data/model poisoning), and describes a five-step human-led testing methodology—discovery, adversarial testing, role/access context testing, supporting interface testing, and analysis/reporting—while citing industry statistics and promoting Outpost24’s CREST-certified AI penetration testing service.